Deezer says 44% of songs uploaded to its platform daily are AI-generated

Deezer reports nearly half of daily uploads are AI-generated, but most streams are flagged as fraudulent and demonetized. | Contesto: cronaca

Punti chiave

• Deezer says 44% of songs uploaded to its platform daily are AI-generated

Contesto

In a stark revelation about the state of digital music, streaming service Deezer has disclosed that 44% of all songs uploaded to its platform daily are generated by artificial intelligence. The data, released this week, highlights the sheer volume of AI-created content flooding distribution channels, though the company was quick to note that actual listener consumption of this material remains minimal, accounting for just 1% to 3% of total streams. Crucially, Deezer's internal systems detect approximately 85% of these AI-generated streams as fraudulent, leading to their immediate demonetization. The disparity between upload volume and genuine listener engagement points to a fundamental shift in how content is being produced and, in many cases, exploited. The high percentage of fraudulent streams suggests a significant portion of this AI-generated music is not being created for artistic expression or audience discovery, but rather as part of coordinated campaigns to game the platform's royalty system. These operations, often involving bots or click farms, artificially inflate stream counts in an attempt to generate revenue from advertising and subscription pools, a practice that directly siphons funds away from legitimate human artists. Deezer's announcement underscores a growing industry-wide crisis. For years, streaming platforms have battled fraudulent activity, but the advent of cheap, accessible AI music generation tools has dramatically lowered the barrier to entry for bad actors. Where once creating a high volume of passable music required studio time, musicians, and equipment, it can now be automated. This has enabled fraudsters to scale their operations, flooding platforms with millions of tracks at near-zero cost, creating a 'needle in a haystack' problem for detection algorithms and copyright enforcement. The company's ability to identify and demonetize the vast majority of these streams reflects a significant investment in what it calls its 'proactive detection models.' These systems analyze upload patterns, streaming behavior, and audio fingerprints to distinguish between organic human listening and artificial inflation. By cutting off the financial...

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Categoria: cronaca